Case files
Named institutions, their disclosed numbers, and what a board should still ask.
JPMorgan Chase: what $2 billion of annual AI value is made of
Nine years of proprietary build, almost 1,000 use cases, 250,000 people on one generative-AI portal — and the parts of the $2 billion a board still cannot audit. Four widely repeated figures excluded for want of a primary.
ING Bank: why 90% of its AI pilots reach production
The platform, the 20-step / 140-risk governance gate, the sequencing — and the four questions ING's own numbers do not answer.
Field guides
How the work is actually done, move by move, with the evidence for each move.
How to move an AI pilot to production
Why most enterprise AI stalls after the demo, and the five-move sequence that gets a pilot into live operations.
How to run an AI enablement program for a large team
Your people are already using AI. Whether that creates value or just risk depends on the enablement program around it.
How to build an AI-led go-to-market system
For a startup, go-to-market is the whole game — and AI makes it possible to build GTM as a system from day one instead of hiring your way to scale. And the trap most teams fall into.
Analysis
Where the industry's numbers hold up, where they do not, and what that means for an operator.
Shipping agents before the audits exist: why AI agents fail in production
The constraint is audit architecture, not model quality. The same model moves from 86% to 99% reliability when verification is built around it. Eleven sources, all primary.
Want this read on your own programme?
A small number of advisory engagements a year: pilot-to-production, AI enablement and AI-led go-to-market. The first step is an honest diagnosis, in writing.
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